Danhong Injection for the Treatment of Hypertensive Nephropathy: A Systematic Review and Meta-Analysis

Li, Yizhuo; Yan, Shihai; Qian, Lichao; Wu, Lihua; Zheng, Yi; Fang, Zheng

doi:10.3389/fphar.2020.00909

Cited by 10 publications

(9 citation statements)

References 57 publications

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“…However, early and aggressive treatment is critical to minimize further kidney damage in these patients. In the current literature, the prognosis of patients with hypertensive nephropathy is clearly related to clinical indicators such as 24 h urinary protein, SCr, Ccr, cystatin C, and BUN [ 39 , 40 ].…”

Section: Discussionmentioning

confidence: 99%

Alprostadil for hypertensive nephropathy: A systematic review and meta-analysis of randomized controlled trials

Hou

Zhang

et al. 2022

PLoS ONE

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We performed a meta-analysis to evaluate the efficacy of alprostadil in the treatment of hypertensive nephropathy. Seven online databases (PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure [CNKI] database, Wanfang Data Knowledge Service Platform, VIP Information Resource Integration Service Platform [cqVIP], and China Biology Medicine Disc [SinoMed]) were searched from inception to January 31, 2022, and a set of clinical indicators for hypertensive nephropathy was selected. The main indicators were 24-h urinary protein, serum creatinine, endogenous serum creatinine clearance rate, blood urea nitrogen, cystatin C, and mean arterial pressure. The methodological quality of the included trials was analyzed using a risk of bias assessment according to the Cochrane Manual guidelines, and a meta-analysis was performed. A random-effects model was implemented to pool the results. A total of 20 randomized controlled trials involving 1441 patients with hypertensive nephropathy were included in this review. Our findings showed that alprostadil had a positive effect on 24-h urinary protein (mean difference [MD] = −0.79, 95% confidence interval [CI] [−1.16, −0.42], P < 0.0001), serum creatinine (MD = −13.83, 95% CI [−19.34, −8.32], P < 0.00001), endogenous serum creatinine clearance rate (MD = 6.09, 95% CI [3.59, 8.59], P < 0.00001), blood urea nitrogen (MD = −6.42, 95% CI [−8.63, −4.21], P < 0.00001), cystatin C (MD = −0.26, 95% CI [−0.34, −0.18], P < 0.00001), and mean arterial pressure levels(MD = −13.65, 95% CI [−16.08, −11.21], P < 0.00001). Compared to conventional treatment alone, alprostadil combined with conventional treatment can improve renal function in patients with hypertensive nephropathy more effectively. However, additional large-scale, multicenter, rigorously designed randomized controlled trials are needed to verify these results. This is the first meta-analysis to evaluate the efficacy of alprostadil for hypertensive nephropathy, and the results may guide clinical practice.

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Section: Discussionmentioning

confidence: 99%

Alprostadil for hypertensive nephropathy: A systematic review and meta-analysis of randomized controlled trials

Hou

Zhang

et al. 2022

PLoS ONE

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“…e final AUROC obtained using the KNN model was 94.2% with parameter k being 4. e effective therapeutic coupled herbs obtained include Radix Salviae Liguliobae-Astragali Radix, Radix Achyranthis Bidentatae-Radix Angelicae Sinensis, Astragali Radix-Radix Angelicae Sinensis, and Ophiopogonis Radix-Poria. According to recent HN-related studies [28][29][30][31][32], all of the coupled herbs screened in the KNN model have therapeutic effects on HN. e targets of the core herbs were analyzed by GO and KEGG enrichment analysis, and the pathways in which the number of enriched genes for each herb was greater than the quartile of related genes of the herb were retained.…”

Section: Validation Of the Models' Effectmentioning

confidence: 99%

Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning

Huan

Zhang

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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Hypertension and coronary heart disease are the most common cardiovascular diseases, and traditional Chinese medicine is applied as an auxiliary treatment for common cardiovascular diseases. This study is based on 3 years of electronic medical record data from the Affiliated Hospital of Shandong University of Traditional Chinese Medicine. A complex network and machine learning algorithm were used to establish a screening model of coupled herbs for the treatment of hypertension complicated with coronary heart disease. A total of 5688 electronic medical records were collected to establish the prescription network and symptom database. The hierarchical network extraction algorithm was used to obtain core herbs. Biological features of herbs were collected from public databases. At the same time, five supervised machine learning models were established based on the biological features of the coupled herbs. Finally, the K-nearest neighbor model was established as a screening model with an AUROC of 91.0%. Seventy coupled herbs for adjuvant treatment of hypertension complicated with coronary heart disease were obtained. It was found that the coupled herbs achieved the purpose of adjuvant therapy mainly by interfering with cytokines and regulating inflammatory and metabolic pathways. These results show that this model can integrate the molecular biological characteristics of herbs, preliminarily screen combinations of herbs, and provide ideas for explaining the value in clinical applications.

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“…As a supplementary means of modern medicine, traditional Chinese medicine (TCM) has received increasing attention, and it is one of the most widely used complementary therapies in the world. TCM has clear advantages in the treatment of HN [11][12][13][14]; TCM formulae are enriched with active components and are directed toward a variety of targets; therefore, their regulation of a disease network is complex. TCM herbs act on the interaction nodes in the disease biomolecule network, affect component expression or activity, and regulate the imbalance in the disease network [15].…”

Section: Introductionmentioning

confidence: 99%

Summarizing the Effective Herbs for the Treatment of Hypertensive Nephropathy by Complex Network and Machine Learning

Huan

Wei

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Hypertensive nephropathy is a common complication of hypertension. Traditional Chinese medicine has been used in the clinical treatment of hypertensive nephropathy for a long time, but the commonly used prescriptions have not been summarized, and the basic therapeutic approaches have not been discussed. Based on data from 3 years of electronic medical records of traditional Chinese medicine used at the Affiliated Hospital of Shandong University of Traditional Chinese Medicine, a complex network and machine learning algorithm was used to explore the prescribed herbs of traditional Chinese medicine in the treatment of hypertensive nephropathy (HN). In this study, complex network algorithms were used to describe traditional Chinese medicine prescriptions for HN treatment. The Apriori algorithm was used to analyze the compatibility of these treatments with modern medicine. Data on the targets and regulatory genes related to hypertensive nephropathy and the herbs that affect their expression were obtained from public databases, and then, the signaling pathways enriched with these genes were identified on the basis of their participation in biological processes. A clustering algorithm was used to analyze the therapeutic pathways at multiple levels. A total of 1499 prescriptions of traditional Chinese medicines used for the treatment of hypertensive renal damage were identified. Fourteen herbs used to treat hypertensive nephropathy act through different biological pathways: huangqi, danshen, dangshen, fuling, baizhu, danggui, chenpi, banxia, gancao, qumai, cheqianzi, ezhu, qianshi, and niuxi. We found the formulae of these herbs and observed that they could downregulate the expression of inflammatory cytokines such as TNF, IL1B, and IL6 and the NF-κB and MAPK signaling pathways to reduce the renal inflammatory damage caused by excessive activation of RAAS. In addition, these herbs could facilitate the deceleration in the decline of renal function and relieve the symptoms of hypertensive nephropathy. In this study, the traditional Chinese medicine approach for treating hypertensive renal damage is summarized and effective treatment prescriptions were identified and analyzed. Data mining technology provided a feasible method for the collation and extraction of traditional Chinese medicine prescription data and provided an objective and reliable tool for use in determining the TCM treatments of hypertensive nephropathy.

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Danhong Injection for the Treatment of Hypertensive Nephropathy: A Systematic Review and Meta-Analysis

Cited by 10 publications

References 57 publications

Alprostadil for hypertensive nephropathy: A systematic review and meta-analysis of randomized controlled trials

Alprostadil for hypertensive nephropathy: A systematic review and meta-analysis of randomized controlled trials

Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning

Summarizing the Effective Herbs for the Treatment of Hypertensive Nephropathy by Complex Network and Machine Learning

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