Current Pharmaceutical Design - Volume 31, Issue 33, 2025
Volume 31, Issue 33, 2025
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SNHG10: A Novel Long Non-coding RNA with Multifaceted Roles in Human Cancers
Authors: Haodong He, Jingjie Yang, Yan Zhou, Lihan Chen, Chuyuan Liao, Ting Gong, Tongtong Li, Haoran Liu, Yunfei Pan, Pengbo Zhang, Xiaolan Li and Chengfu YuanLong non-coding RNAs (lncRNAs) are a type of RNA with a length of more than 200 nucleotides. They do not encode proteins but are crucial in regulating gene expression and affecting the malignant biological behavior of cancer. Small Nucleolar RNA Host Gene 10 (SNHG10) is a novel lncRNA that plays a regulatory role in many malignant tumors. Several recent studies have shown that SNHG10 is aberrantly expressed in various forms of cancer. This instability is closely related to important tumorigenic processes, such as cell proliferation, migration, invasion, epithelial-mesenchymal transition (EMT), and chemotherapy resistance. SNHG10 has been reported to play a role through a variety of molecular mechanisms, including serving as a competing endogenous RNA (ceRNA), regulating epigenetic processes, and affecting immune responses and tumor microenvironment. Furthermore, SNHG10 is involved in metabolic reprogramming, immune evasion, and chromatin remodeling, highlighting its diverse roles in tumor biology. Due to the specificity and selectivity of its expression level, the potential of SNHG10 as a diagnostic biomarker and therapeutic target has attracted significant attention, and its correlation with the prognosis and treatment of various tumor types is of great significance. This review focuses on the biological function and molecular mechanism of SNHG10 and its relationship with various malignant tumors. In addition, this review highlights the potential of SNHG10 to improve precision oncology and develop novel cancer therapies by investigating its upstream regulators, downstream targets, and interactions with nuclear and cytoplasmic processes.
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Liquid Biopsy for Medical Imaging Analysis in Cancer Diagnosis
Authors: Yumna Khan, Rabab Fatima, Amna Khan, Liming Zhang, Ajay Singh Bisht and Md Sadique HussainThe detection of cancer remains a significant challenge due to limitations of current screening approaches, where usually several procedures and imprecise information are required. Liquid biopsy has emerged as an appealing method that makes it unnecessary to use invasive procedures. It depicts the biology of tumors at first sight based on circulating tumor cells (CTCs), cell-free DNA (cfDNA), and exosomes in the blood of the patient. This paper provides a review of the likelihood of the integration of liquid biopsy with medical imaging methods, such as MRI, CT, PET, and ultrasound, to enhance the accuracy of tumor identification. We expand on how liquid biopsy might improve healthcare imaging by defining tumor characterization more accurately and precisely, avoiding false positive and negative values, and providing genetic integration information that is often useful when interpreting imaging scans. Case examples are employed to demonstrate the seamless combination of liquid biopsy data with imaging outcomes, which can help expand the understanding of cancer pathophysiology and treatment sensitivity. However, artificial intelligence and machine learning should be used to support the execution of this supposed synergistically integrated strategy. The article also explains the problems concerning the integration of these two diagnostic methods and stresses the importance of standardizing the procedures and cooperation between the disciplines. This aggregation could result in earlier detection, improved monitoring, as well as individual approaches to cancer patients, hence leading to a significant increase in positive clinical outcomes.
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Enhanced Wound Healing with Rhodiola rosea Phytosomal Gel: Extraction, Formulation, and In vivo Evaluation
BackgroundThis study explores the formulation and effectiveness of a Rhodiola rosea phytosomal gel for enhancing wound healing.
ObjectiveThe ethanolic extract of Rhodiola rosea roots, rich in bioactive compounds like alkaloids and flavonoids, was optimized into a phytosomal complex to improve absorption and dermal retention.
MethodsCharacterization through GC-MS revealed compounds, such as 2-Heptadecenal and Bicyclo[4.1.0]Heptane and 7-Pentyl. FTIR confirmed the successful encapsulation within the phospholipid bilayer, while SEM showed smooth, spherical particles.
ResultsThe Box-Behnken design optimized formulation parameters, achieving high yield (92.64%), small particle size (355 nm), and high entrapment efficiency (93.98%). In vitro release studies displayed a consistent release profile, aligning with Zero-order and Hixson-Crowell models. In vivo evaluation on Wistar rats showed that the phytosomal gel significantly enhanced wound healing, achieving 98.16% wound reduction by day 14, compared to 95.17% for R. rosea extract and 97.13% for standard treatment. Histopathological analysis demonstrated complete tissue regeneration and well-organized collagen fibers in the phytosomal gel group.
ConclusionThis research highlights the potential of Rhodiola rosea phytosomal gel as an effective wound healing therapy, with future studies suggested for extended stability tests and human skin permeation studies.
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Systems Pharmacology-based Drug Discovery and Active Mechanism of Ganoderma lucidum Triterpenoids for Type 2 Diabetes Mellitus by Integrating Network Pharmacology and Molecular Docking
Authors: Junkai Shi, Jialiang Chen, Chitong Cheng, Wei Li, Ming Li, Shuhong Ye, Zhaofang Liu and Yan DingBackgroundType 2 Diabetes Mellitus (T2DM) is a chronic metabolic disease primarily characterized by insufficient insulin secretion or reduced insulin sensitivity in the body's cells, leading to persistently high blood glucose levels. Ganoderma lucidum triterpenoids, as important secondary metabolites of Ganoderma lucidum, have shown preliminary potential efficacy in the treatment of T2DM according to existing research. However, due to the structural complexity and diversity of these triterpenoid compounds, as well as the intricate interactions between their therapeutic targets and active ingredients, the precise molecular and pharmacological mechanisms remain to be further explored.
ObjectiveIn the present research, we aim to fully employ the integrated approach of network pharmacology and molecular docking methodologies, delving deeply into the potential therapeutic targets and their underlying pharmacological mechanisms in the management of T2DM via Ganoderma lucidum triterpenoids.
MethodsThe active compounds were sourced from prior research and the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Their potential targets were predicted with the aid of Swiss Target Prediction. Genes linked to T2DM were gathered from DisGeNET and GeneCards. Using Cytoscape, we established the network connecting active ingredients, targets, and pathways, and the target protein-protein interaction (PPI) network was created using data from the STRING database. The core targets of Ganoderma lucidum triterpenoids underwent gene enrichment analysis via DAVID. Lastly, to validate our chosen Ganoderma lucidum triterpenoids, we conducted molecular docking experiments between the compounds and their targets.
ResultsA total of 53 Ganoderma lucidum triterpenoids and 116 associated targets were identified. Among these, SRC, MAPK1, MAPK3, HSP90AA1, TP53, PIK3CA, and AKT1 emerged as pivotal targets. We retrieved 447 Gene Ontology (GO) functional annotations and 153 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, notably including the PI3K-Akt signaling pathway, Endocrine resistance, Rap1 signaling pathway, and Lipid and Atherosclerosis, which are known to be associated with T2DM. Our findings suggest that Ganoderma lucidum triterpenoids may confer resistance to T2DM through mechanisms related to hyperexcitability, cell death, cell survival, proliferation, differentiation, and inflammation.
ConclusionA comprehensive, interdisciplinary, and multi-technology approach has been established, which uncovers the collaborative effects and underlying principles of Ganoderma lucidum triterpenoids in the management and therapy of T2DM from a holistic perspective. This approach provides new insights into the development of novel biological control products for Type 2 Diabetes Mellitus (T2DM) and lays the foundation for future systematic studies on the interactions between Ganoderma triterpenes and different targets, elucidating their primary and secondary pathways for lowering blood glucose.
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Analysis of Factors Influencing Cardiovascular Events and Mortality in Patients on Dialysis after Parathyroidectomy
Authors: Taohong Yang, Yang Xue, Jianping Ren, XinYu Li, Wenting Xu, Guangyang Nie, Deguang Wang and Xuerong WangBackgroundRenal secondary hyperparathyroidism (SHPT) represents a prevalent complication among dialysis patients, significantly impacting long-term prognosis. Parathyroidectomy (PTX) serves as a clinically effective therapeutic option for patients diagnosed with refractory secondary hyperparathyroidism.
ObjectiveThis study aims to assess the impact of PTX on cardiovascular events (CVEs) and all-cause mortality in dialysis patients, as well as to analyze the incidence and potential determinants of postoperative cardiovascular events and all-cause mortality.
MethodsWe collected data on 710 patients with renal secondary hyperparathyroidism who were treated with PTX between February 2011 and April 2019. A total of 633 patients who underwent PTX were finally included and matched with 462 patients who did not undergo PTX on a 1:1 basis according to age and follow-up duration. Ultimately, 179 pairs were successfully matched to investigate the differences in all-cause mortality and CVEs. The Logistic/Cox regression analyses were employed to identify independent factors associated with adverse CVEs and all-cause mortality among patients receiving PTX. Nomogram prediction models were constructed based on independent influencing factors.
ResultsAmong 633 patients who underwent PTX, 117 (18.5%) died and 192 (30.3%) experienced CVEs during median 5-year follow-up. No significant differences in cardiovascular/death events were observed between matched groups. In patients who underwent PTX, the logistic regression analysis revealed that age and history of diabetes mellitus were independent risk factors for CVEs. The pre-operative use of cinacalcet and/or calcitriol was associated with a reduced risk of CVEs. With respect to preoperative and postoperative calcium levels, the highest tertile was identified as a risk factor when compared with the lowest tertile. Cox regression showed age, diabetes history, and highest preoperative phosphorus tertile negatively correlated with survival, while albumin (ALB) was positively correlated. The predictive nomogram model had an area under the receiver operating characteristic (ROC) curve of 0.649 for CVE prediction. The areas under the ROC curve for predicting 3-, 5-, and 10-year mortality prediction were 0.865, 0.865, and 0.953, respectively.
ConclusionPTX does not reduce the incidence of cardiovascular events and mortality in patients on maintenance dialysis. In patients who underwent PTX, older age, a history of diabetes mellitus, and higher preoperative calcium/postoperative calcium levels were independent risk factors for adverse CVEs; preoperative use of cinacalcet and/or calcitriol was a protective risk for CVEs. Older age, a history of diabetes mellitus, lower ALB levels, and hyperphosphatemia were independent risk factors for all-cause mortality following PTX. These predictive models may assist in clinical decision-making to some extent.
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Volumes & issues
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Volume 31 (2025)
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Volume (2025)
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Volume 30 (2024)
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Volume 29 (2023)
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Volume 28 (2022)
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Volume 27 (2021)
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Volume 26 (2020)
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Volume 25 (2019)
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Volume 24 (2018)
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Volume 23 (2017)
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Volume 22 (2016)
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Volume 21 (2015)
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Volume 20 (2014)
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Volume 19 (2013)
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Volume 18 (2012)
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Volume 17 (2011)
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Volume 16 (2010)
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Volume 15 (2009)
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Volume 14 (2008)
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Volume 13 (2007)
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Volume 12 (2006)
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Volume 11 (2005)
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Volume 10 (2004)
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Volume 9 (2003)
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Volume 8 (2002)
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Volume 7 (2001)
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Volume 6 (2000)
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