ReviewFrontiers in pharmacology2019
Emerging Applications of Metabolomics in Traditional Chinese Medicine Treating Hypertension: Biomarkers, Pathways and More.
Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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Who cites it
34 citing papers in PubMed, 60 citations in OpenAlex.
- Signaling network inhibition by selected traditional Chinese medicine preparations: a novel multi-target paradigm for colorectal cancer therapy.Frontiers in pharmacology · 2026Review
- Article
- Comparative serum metabolomic profiling of hypertension in different traditional Chinese medicine syndromes.Frontiers in molecular biosciences · 2025Article
- The cross-sectional association between cardiometabolic index and abdominal aortic calcification in U.S. adults: evidence from NHANES 2013-2014.Frontiers in nutrition · 2025Article
- Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy.Diagnostics (Basel, Switzerland) · 2024Article
- Research Progress on the Correlation Between Hypertension and Gut Microbiota.Journal of multidisciplinary healthcare · 2024Review
- Based on network pharmacology, gastrodin attenuates hypertension-induced vascular smooth muscle cell proliferation and PI3K/AKT pathway activation.Scientific reports · 2023Article
- Consensus on diagnostic criteria for deficiency syndrome in hypertension: a modified Delphi study.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023Article
- Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Review
- Arginine Biosynthesis Pathway Found to Play a Key Role in the Neuroprotective Effect of Liu-Wei-Luo-Bi (LWLB) Granules in Diabetic db/db Mice with Peripheral Neuropathy Using an Untargeted Metabolomics Strategy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- Effect of Bining decoction on gouty nephropathy: a network pharmacology analysis and preliminary validation of gut microbiota in a mouse model.Annals of translational medicine · 2022Article
- Dissecting the Regulation of Arachidonic Acid Metabolites byFrontiers in pharmacology · 2022Article
- Mining Important Herb Combinations of Traditional Chinese Medicine against Hypertension Based on the Symptom-Herb Network Combined with Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Mechanism of Action of Shenerjiangzhi Formulation on Hyperlipidemia Induced by Consumption of a High-Fat Diet in Rats Using Network Pharmacology and Analyses of the Gut Microbiota.Frontiers in pharmacology · 2022Article
- Protective Effects ofFrontiers in veterinary science · 2022Article
- Danggui Buxue Decoction Ameliorates Idiopathic Pulmonary Fibrosis through MicroRNA and Messenger RNA Regulatory Network.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Effect of Yiqi Huayu Pinggan Zishen Formula Combined with Valsartan in the Treatment of Hypertension and Its Effect on MMP-9, Ang II, and MCP-1.Computational and mathematical methods in medicine · 2022Article
- Huoxue Qianyang Qutan Recipe Protects against Early Renal Damage Induced by Obesity-Related Hypertension via the SIRT1/NF-Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Curcuminoids for Metabolic Syndrome: Meta-Analysis Evidences Toward Personalized Prevention and Treatment Management.Frontiers in nutrition · 2022Review
- Effect of Acupuncture on Blood Pressure and Metabolic Profile Among Patients With Essential Hypertension: Protocol of a Randomized Clinical Trial.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypertension is a prevalent, complex, and polygenic cardiovascular disease, which is associated with increased mortality and morbidity. Across the world, traditional Chinese medicine (TCM) constituted by herbal medicine and non-pharmacological therapies is used to assist blood pressure management. Though widely accepted in daily practice, its mechanism remains largely unknown. Recent years saw a number of studies utilizing metabolomics technologies to elucidate the biological foundation of the antihypertensive effect of TCM. Metabolomics is a relatively "young" omics approach that has gained enormous attention recently in cardiovascular drug discovery and pharmacology studies of natural products. In this review, we described the use of metabolomics in deciphering TCM diagnostic codes for hypertension and in revealing molecular events that drive the antihypertensive effect. By corroborating the diagnostic rules, there's accumulating evidence showing that metabolic profile could be the signature of different syndromes/patterns of hypertension, which offers new perspectives for disease diagnosis and efficacy optimization. Moreover, TCM treatment significantly altered the metabolic perturbations associated with hypertension, which could be a crucial mechanism of the therapeutic effect of TCM. Not only significantly rebalances the dynamics of metabolic flux, TCM but also elicits metabolic network reorganization through restoring the functions of key metabolites, and metabolic pathways. The role of TCM in regulating metabolic perturbations will be informative to researchers seeking new leads for drug discovery. This review further envisioned the promises of employing metabolomics to explore network pharmacology, host-gut microbiota interactions and metabolic reprogramming in TCM, and possible herb-drug interactions in this field in future.
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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 Socratic graph.