scholarly journals Data Mining-Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Ping Xia ◽  
Kun Gao ◽  
Jiadong Xie ◽  
Wei Sun ◽  
Ming Shi ◽  
...  
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Knowledge Base ◽  
Chinese Herb ◽  
Rule Learning ◽  
Primary Treatment ◽  
Integrated Analysis ◽  
Chinese Medicinal Herb ◽  
Stomach Meridian

Background. Traditional Chinese medicine (TCM) has long been used to treat chronic kidney disease (CKD) in Asia. Its effectiveness and safety for CKD treatment have been confirmed in documented studies. However, the prescription rule of formulae for Chinese medicinal herbs is complicated and remains uncharacterized. Thus, we used data mining technology to evaluate the treatment principle and coprescription pattern of these formulae in CKD TCM treatment. Methods. Data on patients with CKD were obtained from the outpatient system of a TCM hospital. We established a Chinese herb knowledge base based on the Chinese Pharmacopoeia and the Chinese Materia Medica. Then, following extraction of prescription information, we deweighted and standardized each prescribed herb according to the knowledge base to establish a database of CKD treatment formulae. We analyzed the frequency with which individual herbs were prescribed, as well as their properties, tastes, meridian tropisms, and categories. Then, we evaluated coprescription patterns and assessed medication rules by performing association rule learning, cluster analysis, and complex network analysis. Results. We retrospectively analyzed 299 prescriptions of 166 patients with CKD receiving TCM treatment. The most frequently prescribed core herbs for CKD treatment were Rhizoma Dioscoreae (Shanyao), Spreading Hedyotis Herb (Baihuasheshecao), Root of Snow of June (Baimagu), Radix Astragali (Huangqi), Poria (Fulin), Rhizoma Atractylodis Macrocephalae (Baizhu), Radix Pseudostellariae (Taizishen), and Fructus Corni (Shanzhuyu). The TCM properties of the herbs were mainly being warm, mild, and cold. The tastes of the herbs were mainly sweet, followed by bitter. The main meridian tropisms were Spleen Meridian of Foot-Taiyin, Liver Meridian of Foot-Jueyi, Lung Meridian of Hand-Taiyin, Stomach Meridian of Foot-Yangming, and Kidney Meridian of Foot-Shaoyin. The top three categories were deficiency-tonifying, heat-clearing, and dampness-draining diuretic. Conclusion. Using an integrated analysis method, we confirmed that the primary TCM pathogeneses of kidney disease were deficiency and dampness-heat. The primary treatment principles were tonifying deficiency and eliminating dampness-heat.

Early Prediction of Chronic Kidney Disease Using Data Mining Techniques

2021 ◽  
pp. 947-957
Author(s):  
Hasin Shahed Shad ◽  
Zeeshan Jamal ◽  
S. M. Foysal Ahmed ◽  
Sifat Momen ◽  
Nafees Mansoor
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Prediction ◽  
Data Mining Techniques ◽  
Using Data

scholarly journals Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other

2016 ◽  
Vol 6 (2) ◽  
pp. 83-87 ◽  
Author(s):  
Shahram Tahmasebian ◽  
Marjan Ghazisaeedi ◽  
Mostafa Langarizadeh ◽  
Mehrshad Mokhtaran ◽  
Mitra Mahdavi-Mazdeh ◽  
...  
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Data Mining Techniques

scholarly journals Metabolite Genome-Wide Association Study for Indoleamine 2,3-Dioxygenase Activity Associated with Chronic Kidney Disease

Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1905
Author(s):  
Hye-Rim Kim ◽  
Hyun-Seok Jin ◽  
Yong-Bin Eom
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Rare Variants ◽  
Geographic Region ◽  
Genome Wide Association ◽  
Integrated Analysis ◽  
Indoleamine 2,3 Dioxygenase ◽  
Genome Wide

Chronic kidney disease (CKD) causes progressive damage to kidney function with increased inflammation. This process contributes to complex amino acid changes. Indoleamine 2,3-dioxygenase (IDO) has been proposed as a new biomarker of CKD in previous studies. In our research, we performed a metabolite genome-wide association study (mGWAS) to identify common and rare variants associated with IDO activity in a Korean population. In addition, single-nucleotide polymorphisms (SNPs) selected through mGWAS were further analyzed for associations with the estimated glomerular filtration rate (eGFR) and CKD. A total of seven rare variants achieved the genome-wide significance threshold (p < 1 × 10−8). Among them, four genes (TNFRSF19, LOC105377444, LOC101928535, and FSTL5) associated with IDO activity showed statistically significant associations with eGFR and CKD. Most of these rare variants appeared specifically in an Asian geographic region. Furthermore, 15 common variants associated with IDO activity were detected in this study and five novel genes (RSU1, PDGFD, SNX25, LOC107984031, and UBASH3B) associated with CKD and eGFR were identified. This study discovered several loci for IDO activity via mGWAS and provided insight into the underlying mechanisms of CKD through association analysis with CKD. To the best of our knowledge, this is the first study to suggest a genetic link between IDO activity and CKD through comparative and integrated analysis.

Rheum officinale (a Chinese medicinal herb) for chronic kidney disease

2009 ◽  
Author(s):  
Han Wang ◽  
Jirong Yue ◽  
Jun Li ◽  
Yan Bin Hou ◽  
Jue Lin Deng
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Medicinal Herb ◽  
Chinese Medicinal Herb

Radix Astragali (a Chinese medicinal herb) for treating chronic kidney disease

2010 ◽  
Author(s):  
Hong Wei Zhang ◽  
Yi Fong Ho ◽  
Zhi Xiu Lin ◽  
Yuk Stewart Tung ◽  
Tze Hoi Kwan ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Medicinal Herb ◽  
Radix Astragali ◽  
Chinese Medicinal Herb

scholarly journals Data Mining to Predict Early Stage Chronic Kidney Disease

2020 ◽  
Vol 177 ◽  
pp. 562-567
Author(s):  
Ana Pinto ◽  
Diana Ferreira ◽  
Cristiana Neto ◽  
António Abelha ◽  
José Machado
Keyword(s):  
Data Mining ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Early Stage

scholarly journals Novel Masters of Erythropoiesis: Hypoxia Inducible Factors and Recent Advances in Anemia of Renal Disease

2016 ◽  
Vol 42 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Yalcin Solak ◽  
Mustafa Cetiner ◽  
Dimitrie Siriopol ◽  
Kayhan Tarim ◽  
Baris Afsar ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Phase 1 ◽  
Experimental Studies ◽  
Primary Treatment ◽  
Hypoxia Inducible Factors ◽  
Anemia Of Chronic Disease ◽  
Clinical Observations ◽  
Special Patient Population

Anemia seen in patients with chronic kidney disease is a particular form of ‘anemia of chronic disease'. Although multifactorial in origin, erythropoiesis-stimulating agents (ESAs) and adjuvant iron therapy represent the primary treatment for anemia in chronic kidney disease. Subsequent clinical observations revealed that these ESA hyporesponsive patients often had increased systemic inflammation as a consequence of their comorbidities. Use of high ESA doses to overcome this ESA hyporesponsiveness posed some concerns regarding associated adverse events of therapy and increased mortality in this special patient population. Recognizing the pivotal roles of hypoxia inducible factors (HIFs) in orchestrating elements of erythropoiesis opened new avenues in the management of renal anemia. Several phase 1 and 2 studies confirmed the results of early experimental studies supporting the beneficial role of augmenting HIFs for erythropoiesis. In this review, we describe the physiologic functions of HIF in erythropoiesis with special emphasis on interactions with iron and hepcidin metabolism and inflammation.

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