- Home
- A-Z Publications
- Current Pharmaceutical Design
- Previous Issues
- Volume 28, Issue 34, 2022
Current Pharmaceutical Design - Volume 28, Issue 34, 2022
Volume 28, Issue 34, 2022
-
-
Discovery of Active Ingredients in Traditional Chinese Medicine Based on the Analysis of Odor and Flavor of Compounds
Authors: Dan Wang, Feng Lu, Li Ai, Chun-Jie Wu, Ziqi Liu, Mengmeng Zhang and Ciping ZhongBackground: The odor and flavor produced by a complex mixture of chemical components with different amounts and thresholds constitute a unique property for food and Traditional Chinese Medicine (TCM). These compounds usually belong to mono- and sesquiterpenes, esters, lipids, and others. Objective: This review aimed to demonstrate the extraction method and reliable technology for identifying the compounds respo Read More
-
-
-
RNA Aptamer-functionalized Polymeric Nanoparticles in Targeted Delivery and Cancer Therapy: An up-to-date Review
Authors: Karina Marangoni and Regina MenezesCancer nanotechnology takes advantage of nanoparticles to diagnose and treat cancer. The use of natural and synthetic polymers for drug delivery has become increasingly popular. Polymeric nanoparticles (PNPs) can be loaded with chemotherapeutics, small chemicals, and/or biological therapeutics. Major problems in delivering such therapeutics to the desired targets are associated with the lack of specificity and the low Read More
-
-
-
Nanomedicine and Addictive Disorders: A New Approach With Cannabinoids
More LessBackground: Most cannabinoids usually present several limitations when evaluating their clinical use, mainly related to the side effects they may cause at the central nervous system and other levels. In this regard, nanotechnology applied to the development of pharmacotherapeutic nanoformulations has become an attractive tool that allows taking advantage of the beneficial properties of multiple drugs while minimi Read More
-
-
-
Topoisomerase Enzyme Inhibitors as Potential Drugs Against Cancer: What Makes Them Selective or Dual? – A Review
Topoisomerase inhibitors are extensively used in cancer chemotherapy. In the process of identifying novel anticancer compounds, biological evaluations are crucial and include, among others, the use of in silico and in vitro approaches. This work aimed to present recent research involving the obtainment and in silico and in vitro evaluation of topoisomerase I, II, and double inhibitors, of synthetic and natural origin, as potent Read More
-
-
-
Astragaloside IV Protects Sepsis-induced Acute Kidney Injury by Attenuating Mitochondrial Dysfunction and Apoptosis in Renal Tubular Epithelial Cells
Authors: Meixia Feng, Juan Lv, Chenxi Zhang, Dagui Chen, Huan Guo, Ye Tu, Li Su and Zhibin WangBackground: Acute kidney injury (AKI) is closely linked to the pathogenesis of sepsis. Oxidative stress can affect the development of AKI by increasing damage to renal tubular epithelial cells. Astragaloside IV (AS-IV) is a natural saponin widly verified beneficial for ameliorating sepsis-induced kidney injury. However, the underlying mechanisms of AS-IV on relieving oxidative stress in renal tubular epithelial cells are yet t Read More
-
-
-
New Ferrocene Formates Bearing Isoxazole Moieties: Synthesis, Characterization, X-ray Crystallography, and Preliminarily Cytotoxicity against A549, HCT116, and MCF-7 Cell Lines
Authors: Jianping Yong, Canzhong Lu, Minxue Yang and Xiaoyuan WuAims: To develop new anticancer agents based on ferrocene core. Background: Cancer has become the major cause of human death globally. The death caused by cancer mainly focuses on lung cancer, breast cancer, liver cancer, carcinoma of the colon, and rectum. Some small molecular inhibitors have been authorized by FDA for the treatment of cancer and several candidates are in different phases of clinical trials. Howe Read More
-
-
-
Identification of PSMB9 and CXCL13 as Immune-related Diagnostic Markers for Rheumatoid Arthritis by Machine Learning
Authors: Zhuo Li, Yue Chen, Maimaiti Zulipikaer, Chi Xu, Jun Fu, Tao Deng, Li-Bo Hao and Ji-Ying ChenBackground: Rheumatoid arthritis (RA) is a chronic inflammatory disease that causes significant physical and psychological damage. Although researchers have gained a better understanding of the mechanisms of RA, there are still difficulties in diagnosing and treating RA. We applied a data mining approach based on machine learning algorithms to explore new RA biomarkers and local immune cell status. Methods: We Read More
-
Volumes & issues
-
Volume 31 (2025)
-
Volume 30 (2024)
-
Volume 29 (2023)
-
Volume 28 (2022)
- Issue 46
- Issue 45
- Issue 44
- Issue 43
- Issue 42
- Issue 41
- Issue 40
- Issue 39
- Issue 38
- Issue 37
- Issue 36
- Issue 35
- Issue 34
- Issue 33
- Issue 32
- Issue 31
- Issue 30
- Issue 29
- Issue 28
- Issue 27
- Issue 26
- Issue 25
- Issue 24
- Issue 23
- Issue 22
- Issue 21
- Issue 20
- Issue 19
- Issue 18
- Issue 17
- Issue 16
- Issue 15
- Issue 14
- Issue 13
- Issue 12
- Issue 11
- Issue 10
- Issue 9
- Issue 8
- Issue 7
- Issue 6
- Issue 5
- Issue 4
- Issue 3
- Issue 2
- Issue 1
-
Volume 27 (2021)
-
Volume 26 (2020)
-
Volume 25 (2019)
-
Volume 24 (2018)
-
Volume 23 (2017)
-
Volume 22 (2016)
-
Volume 21 (2015)
-
Volume 20 (2014)
-
Volume 19 (2013)
-
Volume 18 (2012)
-
Volume 17 (2011)
-
Volume 16 (2010)
-
Volume 15 (2009)
-
Volume 14 (2008)
-
Volume 13 (2007)
-
Volume 12 (2006)
-
Volume 11 (2005)
-
Volume 10 (2004)
-
Volume 9 (2003)
-
Volume 8 (2002)
-
Volume 7 (2001)
-
Volume 6 (2000)
Most Read This Month
Article
content/journals/cpd
Journal
10
5
false
en
