Current Medicinal Chemistry - Volume 33, Issue 8, 2026
Volume 33, Issue 8, 2026
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3D Bioprinting and Microfluidic-based Devices for Cancer Detection and Drug Treatment: Focus on Prostate Cancer
More LessThe burden of increasing cancer incidence among the population, and, in particular, of prostate cancer in men living in highly developed countries, brings with it, on one hand, the need for new devices that allow a faster and earlier diagnosis, ideally in a non-invasive way and with low consumption of expensive reagents, and on the other the need for the assessment of new in vitro models that allow a more reliable assessment of cancer features, including its microenvironment and sensibility to different drugs. At the crossroads of these features, microfluidic devices are found. These, taking advantage of the chemical-physical properties of cells and human samples, have demonstrated great sensitivity and sensibility at an on-chip scale. Many fields of biomedical sciences have tried to exploit all their potentialities: from the detection of antigens in the early phases of the disease (when they are very low concentrated, but the treatment is more effective) to isolation and characterization of circulating tumor cells. However, is in the building of in vitro 3D models to better assess and comprehend the fundamental dynamics occurring in the tumor microenvironment and metastasis that 3D bioprinting techniques come into play. The aim of the present review is to describe the potential of these two different cutting-edge technologies for the detection and treatment of prostate cancer, in the perspective of a possible future combination of them that allows scientists to fill the gaps present in the field to improve patient care and treatment.
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Mouse Model of Low-density Lipoprotein Desialylation In Vivo
More LessAuthors: Dmitry Kashirskikh, Nelya Chicherina, Victor Glanz, Alexander Orekhov and Igor SobeninBackgroundAtherosclerosis is a chronic disease characterized by the increased infiltration and retention of LDL particles in arterial walls. There are several mechanisms underlying atherogenesis, with the pro-atherogenic modifications of LDL playing a significant role. One such modification of native LDL is desialylation, which is characterized by the removal of terminal sialic acid from ApoB-100 glycans that induces critical changes in the overall functionality of the LDL particle.
AimsThe aim of this study was to model the desialylation of native LDL in mice, resembling a phenomenon previously observed in atherosclerotic patients.
ObjectiveLDL desialylation was induced in C57BL/6J mice via the injection of exogenous neuraminidase. The degree of LDL desialylation and its duration were assessed. The impact of LDL desialylation on blood lipid levels was evaluated. Furthermore, the morphological alterations in the aorta during LDL desialylation in the bloodstream were examined.
MethodsThe control group of C57BL/6J mice received saline injections, while the experimental group underwent a single injection of IgG-conjugated Vibrio cholerae neuraminidase. The LDL sialic acid levels were assessed 1-7 days post-injection using the Warren method and normalized to total protein content measured via the Lowry method. A similar protocol was followed for the subchronic administration of the IgG-neuraminidase conjugate over a 6-week period. The blood lipid profiles were analyzed using commercial kits. The atherosclerotic plaque burden in the mouse aorta was quantified using Oil Red O and hematoxylin-eosin staining.
ResultsA single administration of 20 mU IgG-neuraminidase conjugate resulted in decreased LDL sialic acid levels for 5 days, gradually recovering by days 6-7. Subchronic administration maintained reduced LDL sialic acid levels for up to 2 months. Notably, sustained LDL desialylation was associated with elevated LDL cholesterol levels.
ConclusionA sustained desialylation of LDL in C57BL/6J mice was achieved through subchronic administration of IgG-conjugated neuraminidase. This study provides an approach for sustained LDL desialylation in mice. Further studies using apolipoprotein E knockout mice and LDL desialylation will reveal the role of this process in the occurrence and development of atherosclerosis.
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Relationship between Cellular Oxygen Consumption and Atherosclerosis-associated Mitochondrial Mutations (Variants of the Mitochondrial Genome)
More LessBackgroundMitochondria are the main sites of cellular aerobic energy production through conjugation of respiration and oxidative phosphorylation. We have recently discovered mutations (genome variants) of mitochondrial DNA (mtDNA) associated with atherosclerosis. We have then investigated the possible mechanisms underlying such association and the role of mitochondrial mutations in atherogenesis. Mitochondrial dysfunction is a known component of the pathogenesis of chronic human diseases, including atherosclerosis.
ObjectiveThe aim of the study was to explore whether there is a relationship between cellular oxygen consumption and atherosclerosis-associated mitochondrial mutations. The study of mitochondrial respiration abnormalities can help to understand the role of mtDNA mutations in pathology.
MethodsBy using the polarographic method with Clark electrode, we tested the possibility of respiration impairment in permeabilized cells carrying the tested mtDNA variants using the cybrid (cytoplasmic hybrid) lines. Mitochondria introduced in the cybrid lines were obtained from atherosclerotic patients that differed in the profile of mtDNA mutations, which made it possible to compare the degree of mtDNA mutation load with the rate of oxygen consumption by cybrid cells.
ResultsIt was found that three of the studied mutations were individually associated with impaired respiration. Besides, some combinations of two specific mutations have a high probability of being associated with altered oxygen consumption. As a result, eight mutations were identified, individually or paired combinations of which were associated with high or low rates of cellular respiration, significantly different from control cells.
ConclusionThe observed effect may be involved in the pathogenesis of atherosclerosis. The study of mtDNA mutations associated with atherosclerosis can help reveal pharmacological targets for the development of novel therapies.
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Diuretic and Anti-hyperuricemic Effects of Geranyl Acetate in Rats
More LessBackgroundGeranyl acetate, a compound found in plant oils, has been studied for its potential effects on renal and cardiovascular ailments.
ObjectiveThis study aimed to investigate the diuretic and anti-hyperuricemic properties of geranyl acetate in male Wistar rats using a hyperuricemia-induced rat model.
MethodsMolecular docking studies were conducted to assess geranyl acetate's interactions with various targets. In vitro studies were performed to evaluate its scavenging ability and inhibition of xanthine oxidase, urease, and acetylcholinesterase. Subsequently, we administered different doses of geranyl acetate (25, 50, and 100 mg/kg) and a reference drug (furosemide) to the rats to assess their acute and repeated dose diuretic effects over seven days. To understand the diuretic mechanism, we used inhibitors, such as L- NAME, indomethacin, and atropine, prior to administering geranyl acetate. We also tested the anti-hyperuricemic potential of geranyl acetate on hyperuricemic rats.
ResultsMolecular docking suggested strong binding between geranyl acetate and nitric oxide synthase. In vitro studies showed significant free radical scavenging activity and and inhibition of acetylcholinesterase, xanthine oxidase, and urease. The 100 mg/kg dose exhibited the most promising diuretic effects, with nitric oxide appearing to influence its action. Uric acid excretion increased at this dose, resembling allopurinol effects.
ConclusionGeranyl acetate has demonstrated significant diuretic and anti-hyperuricemic effects, likely influenced by nitric oxide release and inhibition of enzymes, like xanthine oxidase and urease. The findings have suggested potential benefits for individuals with kidney ailments, hypertension, and gout.
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Mitochondrial Dysfunction Associated with mtDNA Mutation: Mitochondrial Genome Editing in Atherosclerosis Research
More LessBackgroundAtherosclerosis is a complex cardiovascular disease often associated with mitochondrial dysfunction, which can lead to various cellular and metabolic abnormalities. Within the mitochondrial genome, specific mutations have been implicated in contributing to mitochondrial dysfunction. Atherosclerosis-associated m.15059G>A mutation has been of particular interest due to its potential role in altering mitochondrial function and cellular health.
ObjectiveThis study aims to investigate the role of the atherosclerosis-associated m.15059G>A mutation in the development of mitochondrial dysfunction in monocyte- like cells.
MethodsMonocyte-like cytoplasmic hybrid cell line TC-HSMAM1, which contains the m.15059G>A mutation in mtDNA, was used. The MitoCas9 vector was utilized to eliminate mtDNA copies carrying the m.15059G>A mutation from TC-HSMAM1 cybrids. Mitochondrial membrane potential, generation of reactive oxygen species, and lipid peroxidation levels were assessed using flow cytometry. Cellular reduced glutathione levels were assessed using the confocal microscopy. The oxygen consumption rate was measured using polarographic oxygen respirometry.
ResultsThe elimination of the m.15059G>A mutation resulted in a significant increase in mitochondrial membrane potential and improved mitochondrial efficiency while also causing a decrease in the generation of reactive oxygen species, lipid peroxidation, as well as cellular bioenergetic parameters, such as proton leak and non-mitochondrial oxygen consumption. At the same time, no changes were found in the intracellular antioxidant system after the mitochondrial genome editing.
ConclusionThe presence of the m.15059G>A mutation contributes to mitochondrial dysfunction by reducing mitochondrial membrane potential, increasing the generation of reactive oxygen species and lipid peroxidation, and altering mitochondrial bioenergetics. Elimination of the mtDNA containing atherogenic mutation leads to an improvement in mitochondrial function.
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Mechanisms of Inflammation Chronification: Gene and Epigenetic Regulation of Intolerant Response (Trained Immunity)
More LessAimsThis study aims to elucidate the mechanisms contributing to the transition from acute to chronic inflammation, particularly in the context of atherosclerosis, by investigating the pro-inflammatory responses of cybrid cell lines derived from patients with coronary heart disease.
BackgroundAcute inflammatory reactions are essential components of the innate immune response, typically resolving within hours or days. However, disruptions in this process can lead to chronic inflammation, which is linked to significant morbidity and mortality. Atherosclerosis, characterized by chronic vascular inflammation, poses a major health threat, underscoring the need for understanding its underlying mechanisms.
ObjectivesThe primary objective is to analyze the pro-inflammatory cytokine responses of 14 cellular lines, including 13 cybrids and one maternal line (THP-1), to identify intolerant and tolerant responses to key cytokines associated with inflammation.
MethodsWe utilized cybrid cell lines created by fusing THP-1 monocytic cells with platelets from patients diagnosed with atherosclerosis. Cytokine responses were assessed through quantitative analysis of IL-1β, IL-6, MPC-1, IL-8, and TNF-α secretion. Gene expression profiles were analyzed to correlate cytokine secretion with specific gene regulation patterns, focusing on epigenetic mechanisms influencing immune responses.
ResultsDistinct intolerant and tolerant responses were observed across the cellular lines for key cytokines. Specifically, TC-HSMAM1 and TCP-521 were intolerant to IL-1β, TC-HSMAM1, TC-LSM2, and TC-522 were intolerant to IL-6, six lines exhibited intolerance to MPC-1, and eight lines were intolerant to IL-8. No intolerant responses were noted for TNF-α. Gene expression analysis revealed that at least ten genes correlated with increased cytokine secretion in intolerant reactions, while 23 genes showed higher expression during these intolerant responses, indicating significant roles for DNA modification and chromatin remodeling. An important finding emerged from the study of agents affecting histone modification. Specifically, unlike other agents, sodium butyrate not only exhibited a stronger suppression of the inflammatory response in cells but also eliminated their intolerance to inflammatory stimulation. Therefore, in the near future, sodium butyrate could be regarded as a fundamentally new anti-inflammatory preventive and therapeutic agent, with its mechanism of action rooted in the prevention and suppression of chronic inflammation.
DiscussionIn chronic non-infectious diseases like atherosclerosis the intolerant response or trained immunity can worsen inflammation. This study shows that both genetic and epigenetic regulation contribute to this intolerant response. It was also found that sodium butyrate can prevent the intolerant response, suggesting it may become a new anti-inflammatory agent that suppresses chronic inflammation.
ConclusionOur findings have suggested that the interplay between pro-inflammatory cytokine responses and epigenetic regulation mechanisms is critical in determining whether a cell exhibits a normal or intolerant immune response. Understanding these dynamics may provide insights into the chronic inflammatory processes associated with atherosclerosis and other related conditions.
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Binding Specificity and Local Frustration in Structure-based Drug Discovery
More LessAuthors: Zhiqiang Yan, Yuqing Li, Ying Cao, Xuetao Tao, Jin Wang and Yongsheng JiangEvolution has optimized proteins to balance stability and function by reducing unfavorable energy states, leading to regions of flexibility and frustration on protein surfaces. These locally frustrated regions correspond to functionally important areas, such as active sites and regions for ligand binding and conformational plasticity. Typical strategies of structure-based drug discovery primarily concentrate on enhancing the binding affinity during compound screening and target identification. However, this often overlooks the binding specificity, which is critical for distinguishing specific binding partners from competing ones and avoiding off-target effects. According to the energy landscape theory, optimization of the intrinsic binding specificity involves globally minimizing the frustrations existing in the biomolecular interactions. Recent studies have demonstrated that identifying local frustrations provides a promising approach for screening more specific compounds binding with targets, and quantifying binding specificity complements typical strategies that focus on binding affinity only. This review explores the principles and strategies of computationally quantifying the binding specificity and local frustrations and discusses their applications in structure-based drug discovery. Moreover, given the advancements of artificial intelligence in protein science, this review aims to motivate the integration of AI and available approaches in quantifying the binding specificity and local frustration. We expect that an AI-powered prediction model will accelerate the drug discovery process and improve the success rate of hit compounds.
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Medical Artificial Intelligence: Opportunities and Challenges In Infectious Disease Management
More LessGlobally, millions of individuals suffer from infectious diseases, which are major public health concerns caused by bacteria, fungi, viruses, or parasites. These diseases can be transmitted directly or indirectly from person to person, potentially leading to a pandemic or epidemic. Several advancements have been made in molecular genetics for infectious disease management, which include pharmaceutical chemistry, medicine, and infection tracking; however, these advancements still lack control over human infections. Multidisciplinary cooperation is needed to address and control human infections. Advancements in scientific tools have empowered scientists to enhance epidemic prediction, gain insights into pathogen specificity, and pinpoint potential targets for drug development. Artificial intelligence (AI)-based methodologies demonstrate significant potential for integrating large-scale quantitative and omics data, enabling effective handling of biological complexity. Machine Learning (ML) plays a crucial role in AI by leveraging data to train predictive models. AI can enhance diagnostic accuracy through objective pattern recognition, standardize infection diagnoses with implications for Infection Prevention and Control (IPC), and aid in generalizing IPC knowledge. Additionally, AI-powered hand hygiene applications have the potential to drive behavioral change, although further evaluation in diverse clinical contexts is necessary. This review article highlights AI's potential in improving the healthcare system in different aspects of infectious diseases management, such as monitoring disease growth, using a real-time chatbot for patient assistance, using image processing for diagnosis, and developing new treatment algorithms. The study also discusses future directions for novel vaccine and drug development, as well as other aspects, such as the need for physicians and healthcare professionals to receive AI system training for their correct use and the ability of doctors to identify and resolve any problems that may arise with AI.
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Expression of TCEAL2 is a Novel Prognostic Biomarker and Potential Therapeutic Target in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma
More LessAuthors: Jinyuan Li, Zhen Ye, Yuhong Gan, Dongbing Li and Yibiao ChenBackgroundCervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are major gynecological malignancies, causing significant cancer-related deaths in women. Current treatments yield poor outcomes, with a 5-year survival rate of only 17%. Identifying new biomarkers and therapeutic targets is crucial for improving prognosis and guiding personalized treatments.
MethodsWe analyzed TCEAL2 expression using data from The Cancer Genome Atlas (TCGA) across various cancers, including CESC. We explored its correlation with clinical features, prognosis, immune infiltration, MSI, mRNAsi, and drug sensitivity. TCEAL2 expression was validated in GSE9750 datasets and CESC cell lines using qRT-PCR.
ResultsTCEAL2 expression was significantly dysregulated in CESC. Elevated TCEAL2 levels correlated with poor clinical outcomes, including advanced pathological M stage (p = 0.009), initial treatment failure (p = 0.0098), and reduced overall survival (OS) (p = 0.013). TCEAL2 was an independent predictor of unfavorable OS (p = 0.032). It was associated with key pathways such as calcium signaling, oxidative phosphorylation, and Wnt signaling. TCEAL2 also correlated with immune cell infiltration, MSI, and mRNAsi. Notably, TCEAL2 levels inversely correlated with sensitivity to several drugs, including CAY10603 and SB-223133.
DiscussionThe results suggest that TCEAL2 plays a significant role in CESC progression and its tumor microenvironment. Its correlation with immune infiltration and drug sensitivity highlights its potential as a prognostic biomarker and therapeutic target. Future studies should focus on elucidating the molecular mechanisms and validating their clinical utility.
ConclusionTCEAL2 is a potential prognostic biomarker and therapeutic target in CESC. Further research is needed to explore its role and clinical applications.
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DDX59-AS1: A Novel Prognostic Biomarker and Immunotherapy Predictor in Lung Adenocarcinoma
More LessAuthors: Yanli Wang, Wei Li, Su Wei, Lixi Zhang, Dongbing Li and Xu QiBackgroundThe precise function of DDX59 Antisense RNA 1 (DDX59-AS1) in lung adenocarcinoma (LUAD) has yet to be fully elucidated.
ObjectiveThis study uses bioinformatics analysis and experimental validation to investigate the association between DDX59-AS1 and LUAD.
MethodsThis study uses statistical analysis and database interrogation to investigate the potential association between DDX59-AS1 expression and various clinical characteristics, prognostic factors, regulatory networks, and immune infiltration in LUAD. The quantification of DDX59-AS1 expression in LUAD cell lines is conducted through the use of quantitative real-time polymerase chain reaction (qRT-PCR).
ResultsDDX59-AS1 showed significantly elevated levels of expression in patients with LUAD. High levels of DDX59-AS1 expression were found to be significantly associated with poorer overall survival (OS) in patients with LUAD (p = 0.024). Furthermore, an independent correlation was observed between high DDX59-AS1 expression (p = 0.037) and OS in LUAD patients. DDX59-AS1 was found to be involved in various pathways, including glutathione metabolism, proteasome function, and the cytosolic DNA sensing pathway, among others. A significant correlation was observed between the expression levels of DDX59-AS1 and immune cell infiltration in the context of LUAD. Notably, elevated expression of DDX59-AS1 was observed in LUAD cell lines compared to the non-cancerous Beas-2B cell line.
ConclusionA significant correlation was observed between elevated DDX59-AS1 expression in patients with LUAD and adverse prognosis, alongside increased immune infiltration. These results indicate that DDX59-AS1 may function as a prognostic marker for LUAD and a potential predictor of immunotherapy response.
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LncRNA HYMAI Promotes Endothelial Cell Autophagy via miR-19a-3p/ ATG14 to Attenuate the Progression of Coronary Atherosclerotic Disease
More LessAuthors: Shao Ouyang, Zhi-Xiang Zhou, Hui-Ting Liu, Kun Zhou, Zhong Ren, Huan Liu, Qian Xu, Zhaoyue Wang, Wenhao Xiong, Gaofeng Zeng and Zhi-Sheng JiangBackgroundCoronary atherosclerotic disease (CAD), clinically manifesting as progressive coronary atherosclerosis (As), involves endothelial cell (EC) dysfunction. HYMAI may contribute to atherogenesis by acting on ECs, but its regulation of endothelial injury and role in As pathogenesis remain unclear.
MethodsHYMAI expression was assessed via PCR array in blood samples from healthy individuals, patients with premature coronary atherosclerotic disease (PCAD), and patients with mature coronary atherosclerotic disease (MCAD) (each group consisting of 4 males and 2 females). Using male ApoE−/− and LDLR−/− mice fed with a high-fat diet (HFD) to model As, we evaluated the effects of endothelial-specific HYMAI overexpression on aortic lesions. Autophagy and apoptosis were analyzed in ox-LDL-treated human coronary artery endothelial cells (HCAECs).
ResultsHYMAI levels increased sequentially in healthy individuals, PCAD, and MCAD patients. In HFD-fed ApoE−/− and LDLR−/− mice, aortic atherosclerosis progressed with age, while HYMAI expression in aortic tissue declined. HYMAI overexpression in ECs promoted autophagy and attenuated atherosclerosis. In vitro, ox-LDL suppressed HYMAI, triggering autophagic inhibition and apoptotic activation in HCAECs. HYMAI overexpression rescued ox-LDL-impaired autophagy and suppressed apoptosis through the miR-19a-3p/ATG14 pathway. MiR-19a-3p overexpression reversed autophagic rescue and promoted apoptosis by repressing ATG14.
DiscussionHYMAI upregulation counteracts ox-LDL-treated endothelial autophagic inhibition via the miR-19a-3p/ATG14 pathway, rescuing apoptosis and attenuating As in both in vivo and in vitro settings.
ConclusionOur results demonstrated that HYMAI attenuated As progression in As mice and ox-LDL-treated HCAECs by enhancing endothelial autophagy through the miR-19a-3p/ATG14 axis. These findings establish HYMAI as a novel regulatory mechanism and provide a potential druggable target for As and CAD.
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Volumes & issues
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Volume 33 (2026)
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Volume 32 (2025)
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Volume 31 (2024)
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Volume 30 (2023)
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Volume 29 (2022)
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Volume 28 (2021)
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Volume 27 (2020)
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Volume 26 (2019)
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Volume 25 (2018)
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Volume 24 (2017)
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Volume 23 (2016)
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Volume 22 (2015)
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Volume 21 (2014)
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Volume 20 (2013)
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Volume 19 (2012)
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Volume 18 (2011)
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Volume 17 (2010)
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Volume 16 (2009)
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Volume 15 (2008)
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Volume 14 (2007)
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Volume 13 (2006)
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Volume 12 (2005)
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Volume 11 (2004)
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Volume 10 (2003)
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Volume 9 (2002)
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Volume 8 (2001)
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Volume 7 (2000)
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