Systems Pharmacology Approach and Experiment Evaluation Reveal Multidimensional Treatment Strategy of LiangXueJieDu Formula for Psoriasis

Zhao, Jingxia; Wang, Yan; Chen, Weiwen; Fu, Jing; Liu, Yu; Di, Tingting; Qian, Cong; Chen, Zhaoxia; Li, Ping

doi:10.3389/fphar.2021.626267

Cited by 8 publications

(8 citation statements)

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“…Many elements in the glycerol phospholipid metabolism pathway, such as PA, PC, and PI, have also been confirmed to undergo significant changes in the plasma of psoriasis patients ( 4 ). Drugs such (R)-salbutamol and Chinese Herbal formula can alleviate psoriasis by improving glycophoric metabolism ( 83 , 84 ). Arachidonic acid (AA) is a polyunsaturated fatty acid that serves as a precursor to various bioactive lipid mediators, including prostaglandins, leukotrienes, and thromboxanes.…”

Section: Discussionmentioning

confidence: 99%

The causal relationship between serum metabolites and the risk of psoriasis: a Mendelian randomization and meta-analysis study

Yang,

Zheng,

et al. 2024

Front. Immunol.

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ObjectiveTo explore the influence of serum metabolites on the risk of psoriasis.MethodsIn the initial stage, we applied Mendelian randomization to evaluate the association between 1,400 serum metabolites and the risk of psoriasis. Causal effects were primarily assessed through the Inverse-Variance Weighted method and Wald Ratio’s odds ratios, and 95% confidence intervals. False Discovery Rate was used for multiple comparison corrections. Sensitivity analyses were conducted using Cochran’s Q Test, MR-PRESSO. MR-Steiger Test was employed to check for reverse causality. In the validation stage, we sought other sources of psoriasis GWAS data to verify the initial results and used meta-analysis to combine the effect sizes to obtain robust causal relationships. In addition, we also conducted metabolic pathway enrichment analysis on known metabolites that have a causal relationship with the risk of psoriasis in both stages.ResultsIn the initial stage, we identified 112 metabolites causally associated with psoriasis, including 32 metabolite ratios and 80 metabolites (69 known and 11 unknown). In the validation stage, 24 metabolites (16 known, 1 unknown, and 7 metabolite ratios) were confirmed to have a causal relationship with psoriasis onset. Meta-analysis results showed that the overall effect of combined metabolites was consistent with the main analysis in direction and robust in the causal relationship with psoriasis onset. Of the 16 known metabolites, most were attributed to lipid metabolism, with 5 as risk factors and 8 as protective factors for psoriasis. Peptidic metabolite Gamma-glutamylvaline levels had a negative causal relationship with psoriasis, while exogenous metabolite Catechol sulfate levels and amino acid 3-methylglutaconate levels had a positive causal relationship with the disease onset. The metabolites associated with psoriasis risk in the two stages are mainly enriched in the following metabolic pathways: Glutathione metabolism, Alpha Linolenic Acid and Linoleic Acid Metabolism, Biosynthesis of unsaturated fatty acids, Arachidonic acid metabolism, Glycerophospholipid metabolism.ConclusionCirculating metabolites may have a potential causal relationship with psoriasis risk, and targeting specific metabolites may benefit psoriasis diagnosis, disease assessment, and treatment.

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Section: Discussionmentioning

confidence: 99%

The causal relationship between serum metabolites and the risk of psoriasis: a Mendelian randomization and meta-analysis study

Yang,

Zheng,

et al. 2024

Front. Immunol.

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“…Chen et al [28] GC-MS Zhao et al [37] UPLC/Q-TOF-MS 13 PV of treatment responders with the LiangXueJieDu formula Serum Disturbed glycerophospholipid metabolism and steroid hormone biosynthesis were reversed using the LiangXueJieDu formula treatment.…”

Section: Kishikawamentioning

confidence: 99%

“…Similarly, Zhao et al [ 37 ] illustrated the anti-psoriatic effectiveness of the LiangXueJieDu formula, a Chinese herbal medicine, using metabolomics. They analyzed metabolic changes in serum of psoriasis patients after an 8-week treatment and found that disrupted glycerophospholipid metabolism and steroid hormone biosynthesis could be reversed by treatment with the LiangXueJieDu formula.…”

Section: Metabolomics For Explaining the Mechanism Of Treatments And ...mentioning

confidence: 99%

Research progress of metabolomics in psoriasis

Guo

Jin

2023

Chinese Medical Journal

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Psoriasis is a chronic inflammatory skin disease with significant physical and psychological burdens. The interplay between the innate and adaptive immune systems is thought to contribute to the pathogenesis; however, the details of the pathogenesis remain unclear. In addition, reliable biomarkers for diagnosis, assessment of disease activity, and monitoring of therapeutic response are limited. Metabolomics is an emerging science that can be used to identify and analyze low molecular weight molecules in biological systems. During the past decade, metabolomics has been widely used in psoriasis research, and substantial progress has been made. This review summarizes and discusses studies that applied metabolomics to psoriatic disease. These studies have identified dysregulation of amino acids, carnitines, fatty acids, lipids, and carbohydrates in psoriasis. The results from these studies have advanced our understanding of: (1) the molecular mechanisms of psoriasis pathogenesis; (2) diagnosis of psoriasis and assessment of disease activity; (3) the mechanism of treatment and how to monitor treatment response; and (4) the link between psoriasis and comorbid diseases. We discuss common research strategies and progress in the application of metabolomics to psoriasis, as well as emerging trends and future directions.

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“…Taking the herbs (Jinyinhua, Lianqiao, Jiegeng, Bohe, Dantouchi, Danzhuye, Niubangzi, Jingjie, Lugen, and Gancao) in YQS as keywords, the TCMSP database (http://tcmspw.com/tcmsp.php) was used to retrieve their relevant chemical compositions, and oral bioavailability (OB) ≥ 30%, drug-likeness (DL) ≥ 0.18, and drug half-life (HL) ≥ 4 h were adopted as screening conditions to obtain active ingredients that meet the conditions [14][15][16]. Among them, the active ingredients of Danzhuye were obtained through a combination of a literature search [17] and the TCMSP database.…”

Section: Finding Potential Targets Of Yqsmentioning

confidence: 99%

Using a System Pharmacology Method to Search for the Potential Targets and Pathways of Yinqiaosan against COVID-19

Cao

Jia²,

et al. 2022

Journal of Healthcare Engineering

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The first reported case of coronavirus disease 2019 (COVID-19) occurred in Wuhan, Hubei, China. Thereafter, it spread through China and worldwide in only a few months, reaching a pandemic level. It can cause severe respiratory illnesses such as pneumonia and lung failure. Since the onset of the disease, the rapid response and intervention of traditional Chinese medicine (TCM) have played a significant role in the effective control of the epidemic. Yinqiaosan (YQS) was used to treat COVID-19 pneumonia, with good curative effects. However, a systematic overview of its active compounds and the therapeutic mechanisms underlying its action has yet to be performed. The purpose of the current study is to explore the compounds and mechanism of YQS in treating COVID-19 pneumonia using system pharmacology. A system pharmacology method involving drug-likeness assessment, oral bioavailability forecasting, virtual docking, and network analysis was applied to estimate the active compounds, hub targets, and key pathways of YQS in the treatment of COVID-19 pneumonia. With this method, 117 active compounds were successfully identified in YQS, and 77 potential targets were obtained from the targets of 95 compounds and COVID-19 pneumonia. The results show that YQS may act in treating COVID-19 pneumonia and its complications (atherosclerosis and nephropathy) through Kaposi sarcoma-related herpesvirus infection and the AGE-RAGE signaling pathway in diabetic complications and pathways in cancer. We distinguished the hub molecular targets within pathways such as TNF, GAPDH, MAPK3, MAPK1, EGFR, CASP3, MAPK8, mTOR, IL-2, and MAPK14. Five of the more highly active compounds (acacetin, kaempferol, luteolin, naringenin, and quercetin) have anti-inflammatory and antioxidative properties. In summary, by introducing a systematic network pharmacology method, our research perfectly forecasts the active compounds, potential targets, and key pathways of YQS applied to COVID-19 and helps to comprehensively clarify its mechanism of action.

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Systems Pharmacology Approach and Experiment Evaluation Reveal Multidimensional Treatment Strategy of LiangXueJieDu Formula for Psoriasis

Cited by 8 publications

References 48 publications

The causal relationship between serum metabolites and the risk of psoriasis: a Mendelian randomization and meta-analysis study

The causal relationship between serum metabolites and the risk of psoriasis: a Mendelian randomization and meta-analysis study

Research progress of metabolomics in psoriasis

Using a System Pharmacology Method to Search for the Potential Targets and Pathways of Yinqiaosan against COVID-19

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