Network pharmacology-based exploration of therapeutic mechanism of Liu-Yu-Tang in atypical antipsychotic drug-induced metabolic syndrome
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Ning-Ning Li | Si-Ying Xiang | Xin Xin Huang | Yu-Ting Li | Chao Luo | Peijun Ju | Yi-Feng Xu | Jian-Hua Chen | Peijun Ju | Si-Ying Xiang | Yu-Ting Li | Jian-Hua Chen | Yi-Feng Xu | Xin Huang | Ning Li | Chaochao Luo
[1] T. Aittokallio,et al. Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products. , 2015, Natural product reports.
[2] M. Woodward,et al. Elevated serum advanced glycation endproducts in obese indicate risk for the metabolic syndrome: a link between healthy and unhealthy obesity? , 2015, The Journal of clinical endocrinology and metabolism.
[3] F. Shidfar,et al. The Impact of Low Advanced Glycation End Products Diet on Metabolic Risk Factors: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. , 2020, Advances in nutrition.
[4] Alexander Yang,et al. Adipocyte lipolysis: from molecular mechanisms of regulation to disease and therapeutics. , 2020, The Biochemical journal.
[5] M. Itokawa,et al. Advanced glycation end products and schizophrenia: A systematic review. , 2015, Journal of psychiatric research.
[6] Yun-Fei Zhang,et al. Systematic elucidation of the mechanism of geraniol via network pharmacology , 2019, Drug design, development and therapy.
[7] Li-li Gu,et al. A network-based analysis of key pharmacological pathways of Andrographis paniculata acting on Alzheimer's disease and experimental validation. , 2019, Journal of ethnopharmacology.
[8] Taolei Sun,et al. Olanzapine-induced endoplasmic reticulum stress and inflammation in the hypothalamus were inhibited by an ER stress inhibitor 4-phenylbutyrate , 2019, Psychoneuroendocrinology.
[9] X. Tong,et al. Evidence and potential mechanisms of traditional Chinese medicine for the treatment of type 2 diabetes: A systematic review and meta‐analysis , 2019, Diabetes, obesity & metabolism.
[10] Vahideh Hassan-Zadeh,et al. IL-6 signalling pathways and the development of type 2 diabetes , 2018, Inflammopharmacology.
[11] Evan Bolton,et al. PubChem 2019 update: improved access to chemical data , 2018, Nucleic Acids Res..
[12] G. Striker,et al. Advanced glycation end products in foods and a practical guide to their reduction in the diet. , 2010, Journal of the American Dietetic Association.
[13] W. Yao,et al. A multicenter, randomized, double-blind, parallel-group, placebo-controlled study of the effects of qili qiangxin capsules in patients with chronic heart failure. , 2013, Journal of the American College of Cardiology.
[14] D. Belsham,et al. Antipsychotics differentially regulate insulin, energy sensing, and inflammation pathways in hypothalamic rat neurons , 2019, Psychoneuroendocrinology.
[15] J. Hokanson,et al. Hypertriglyceridemia as a cardiovascular risk factor. , 1998, The American journal of cardiology.
[16] Chen Zhang,et al. Metabolic syndrome in patients taking clozapine: prevalence and influence of catechol-O-methyltransferase genotype , 2014, Psychopharmacology.
[17] Roger Davis,et al. The c-Jun NH2-terminal Kinase Promotes Insulin Resistance during Association with Insulin Receptor Substrate-1 and Phosphorylation of Ser307 * , 2000, The Journal of Biological Chemistry.
[18] Damian Szklarczyk,et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets , 2018, Nucleic Acids Res..
[19] K. O’Shea,et al. Radical Roles for RAGE in the Pathogenesis of Oxidative Stress in Cardiovascular Diseases and Beyond , 2013, International journal of molecular sciences.
[20] Olivier Michielin,et al. SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules , 2019, Nucleic Acids Res..
[21] Tsippi Iny Stein,et al. The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses , 2016, Current protocols in bioinformatics.
[22] F. Sanz,et al. The DisGeNET knowledge platform for disease genomics: 2019 update , 2019, Nucleic Acids Res..
[23] Shaodong Guo. Decoding insulin resistance and metabolic syndrome for promising therapeutic intervention. , 2014, The Journal of endocrinology.
[24] Andrea Cipriani,et al. Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis , 2020, The lancet. Psychiatry.
[25] Anita T Layton,et al. Network centrality analysis of eye-gaze data in autism spectrum disorder , 2019, Comput. Biol. Medicine.
[26] A. Kuhad,et al. Antipsychotics‐induced metabolic alterations: Recounting the mechanistic insights, therapeutic targets and pharmacological alternatives , 2019, European journal of pharmacology.
[27] Guohua Yu,et al. Network pharmacology-based strategy to investigate pharmacological mechanisms of Zuojinwan for treatment of gastritis , 2018, BMC Complementary and Alternative Medicine.
[28] R. Joshi,et al. Molecular investigation of glycated insulin-induced insulin resistance via insulin signaling and AGE-RAGE axis. , 2020, Biochimica et biophysica acta. Molecular basis of disease.
[29] Habibollah Esmaily,et al. Cytokine and growth factor profiling in patients with the metabolic syndrome , 2015, British Journal of Nutrition.
[30] Defeng Li,et al. Network pharmacology-based identification of key pharmacological pathways of Yin–Huang–Qing–Fei capsule acting on chronic bronchitis , 2016, International journal of chronic obstructive pulmonary disease.
[31] Philippe Bardou,et al. jvenn: an interactive Venn diagram viewer , 2014, BMC Bioinformatics.
[32] F. Koohdani,et al. Effects of DHA-enriched fish oil on gene expression levels of p53 and NF-κB and PPAR-γ activity in PBMCs of patients with T2DM: A randomized, double-blind, clinical trial. , 2019, Nutrition, metabolism, and cardiovascular diseases : NMCD.
[33] C. Correll,et al. Pharmacological Management of Glucose Dysregulation in Patients Treated with Second-Generation Antipsychotics , 2020, Drugs.
[34] Guo-Qing Zheng,et al. Efficacy and safety of Chinese herbal medicine for depression: A systematic review and meta-analysis of randomized controlled trials. , 2019, Journal of psychiatric research.
[35] G. Aldini,et al. Regulatory landscape of AGE-RAGE-oxidative stress axis and its modulation by PPARγ activation in high fructose diet-induced metabolic syndrome , 2017, Nutrition & Metabolism.
[36] Xue Xu,et al. Network pharmacology-based prediction of the active ingredients and potential targets of Chinese herbal Radix Curcumae formula for application to cardiovascular disease. , 2013, Journal of ethnopharmacology.
[37] J. Manson,et al. Weight, weight change, and coronary heart disease in women. Risk within the 'normal' weight range. , 1995, JAMA.
[38] Wei Li,et al. How Can Synergism of Traditional Medicines Benefit from Network Pharmacology? , 2017, Molecules.
[39] C. Sukasem,et al. Genetic polymorphisms of HTR2C, LEP and LEPR on metabolic syndromes in patients treated with atypical antipsychotic drugs , 2018, The Journal of pharmacy and pharmacology.
[40] L. Kong,et al. High fructose diet-induced metabolic syndrome: Pathophysiological mechanism and treatment by traditional Chinese medicine. , 2018, Pharmacological research.
[41] Chronic olanzapine administration causes metabolic syndrome through inflammatory cytokines in rodent models of insulin resistance , 2019, Scientific Reports.
[42] Dan J Stein,et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 , 2015, The Lancet.
[43] H. Arnesen,et al. Components of the interleukin-6 transsignalling system are associated with the metabolic syndrome, endothelial dysfunction and arterial stiffness. , 2013, Metabolism: clinical and experimental.
[44] Wei Zhou,et al. TCMSP: a database of systems pharmacology for drug discovery from herbal medicines , 2014, Journal of Cheminformatics.